Columbia University & DeepMind Enhance General Part Assembly Planning Using a Transformer-based Model
In a new paper General Part Assembly Planning, a research team from Columbia University and Google DeepMind introduces General Part Assembly Transformer (GPAT), a transformer-based model for assembly planning that has strong generalization capability to automatically estimate novel and diverse target and part shapes.